Julia Signell | @jsignell | Head of Open Source at Saturn Cloud
Materials at: https://github.com/jsignell/intro-to-holoviz
Learn how to use HoloViz tools to visualize tabular and array data in Python. If want to be able to quickly see what your data look like this talk may help.
This material is best suited to people who are familiar with Python (or another programming language like R, Matlab, or Julia). If you have encountered Pandas and Numpy and are familiar with running code in a Jupyter notebook even better!
After attending this, you should be able to:
- Quickly inspect your data using
hvplot. - Aggregate large data to the pixel level using
datashader. - Produce dashboards that allow others to easily view your outputs using
panel.
There are two different ways in which you can set up and go through the notebooks. Both of which are outlined in the table below.
| Method | Setup | Description |
|---|---|---|
| Binder |  |
Run the tutorial notebooks on mybinder.org without installing anything locally. |
| Local install | Instructions | Download the notebooks and install the necessary packages (via conda) locally. Setting things up locally can take a few minutes. |
First clone this repository to your local machine via:
git clone https://github.com/jsignell/intro-to-holoviz
If you do not already have the conda package manager installed, please follow the instructions here.
Navigate to the intro-to-holoviz/ directory and create a new conda environment with the required
packages via:
cd intro-to-holoviz
conda env create --file binder/environment.yml
This will create a new conda environment named "intro-to-holoviz".
Next, activate the environment:
conda activate intro-to-holoviz
Finally, launch JupyterLab with:
jupyter lab